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- Tasks: Transform and model marketing data for decision-making and campaign activation.
- Company: Wyoming Interactive is an award-winning digital consultancy for global leaders in various sectors.
- Benefits: Enjoy hybrid work, performance bonuses, profit sharing, and 28 days holiday plus extra time off.
- Why this job: Join a supportive team shaping digital performance for top brands while developing your skills.
- Qualifications: 3+ years in data roles, strong SQL and Snowflake skills, and experience with marketing tools.
- Other info: Flexible working options and opportunities for professional development and networking.
The predicted salary is between 28800 - 48000 £ per year.
Location: Hybrid (Edinburgh HQ or remote UK-based)
Salary: Competitive + Bonus + Profit Share
Wyoming Interactive is an award-winning digital consultancy that designs and delivers sophisticated digital platforms for global leaders in Life Sciences, Financial Services, and Technology. Our work helps enterprise clients better understand, engage, and convert their customers, with the right data powering the right decisions.
We’re now hiring an Analytics Engineer to support a high-profile international client. This role focuses on transforming and modelling marketing data so it can be used for decision-making, personalisation, and campaign activation across multiple platforms and markets.
The Role
As an Analytics Engineer, you’ll sit between data engineering and marketing activation. Your job is to make raw data usable, building scalable, governed datasets that power segmentation, performance measurement, and automated marketing journeys. You won’t be running campaigns or designing the customer journey, but you’ll ensure that data flows cleanly and accurately across the Martech stack so CRM teams can.
Day to day you’ll be designing and maintaining high-quality, analysis-ready datasets that support CRM, product, and marketing teams in making informed decisions. Using Snowflake alongside tools like dbt and SQL, you’ll model data to enable segmentation, performance tracking, and personalised marketing.
You will have the opportunity to work across a broad Martech stack, including platforms such as HubSpot, Shopify, Google Analytics, and Meta ads, ensuring that clean, consistent data is available where and when it is needed.
You’ll build and manage governed data pipelines using tools like RudderStack and Azure Data Factory, and support reporting and visualisation through platforms such as Looker Studio and PowerBI, collaborating with internal stakeholders and client teams to ensure data models align with business priorities, while maintaining strong standards around privacy, compliance, and governance.
What You’ll Bring
- 3+ years working in data, analytics, or martech-adjacent engineering roles
- Strong skills in SQL, Snowflake, and data transformation/modelling tools (e.g. dbt)
- Experience integrating data from Google Analytics and HubSpot
- Familiarity with CDPs or event tracking platforms such as RudderStack
- Ability to work closely with marketing, analytics, and technical teams, translating business goals into technical solutions
- A thoughtful, detail-oriented approach to data quality, documentation, and governance
Nice to Have
- Experience supporting CRM or marketing teams at enterprise scale
- Previous work in ecommerce, consumer products, or lifestyle sectors
- Familiarity with CI/CD principles or modern data ops workflows
- Understanding of campaign enablement use cases (e.g. personalisation, journey orchestration, audience targeting)
Why Join Wyoming Interactive?
- Hybrid, remote, and flexible working options
- Performance-based bonus
- Annual profit share
- 28 days holiday + extra time off at Christmas & New Year
- Skills development opportunities and regular conference access
- Edinburgh HQ with social events and team gatherings
Curious to Learn More? Send us your CV or get in touch for an informal chat, we’re always happy to walk through the opportunity and answer your questions.
Analytics Engineer employer: Wyoming Interactive
Contact Detail:
Wyoming Interactive Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Snowflake, dbt, and SQL. Having hands-on experience or projects showcasing your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the analytics and martech fields, especially those who have experience working with CRM teams. Engaging in conversations about data quality and governance can provide insights that may be beneficial during interviews.
✨Tip Number 3
Prepare to discuss how you've previously transformed and modelled data for marketing purposes. Be ready to share specific examples of how your work has impacted decision-making or campaign performance in past roles.
✨Tip Number 4
Research Wyoming Interactive and their client base. Understanding their approach to digital consultancy and the industries they serve will help you tailor your discussions and demonstrate your genuine interest in the role.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data, analytics, and martech engineering roles. Emphasise your skills in SQL, Snowflake, and data transformation tools like dbt, as these are crucial for the Analytics Engineer position.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the role and how your background aligns with the company's needs. Mention specific experiences where you've successfully transformed and modelled data to support marketing decisions.
Showcase Relevant Projects: If you have worked on projects involving data integration from platforms like Google Analytics or HubSpot, be sure to include these in your application. Highlight your ability to build governed data pipelines and maintain data quality.
Highlight Collaboration Skills: Since the role involves working closely with marketing, analytics, and technical teams, emphasise your collaborative experiences. Provide examples of how you've translated business goals into technical solutions in past roles.
How to prepare for a job interview at Wyoming Interactive
✨Know Your Data Tools
Familiarise yourself with the specific tools mentioned in the job description, such as SQL, Snowflake, and dbt. Be prepared to discuss your experience with these technologies and how you've used them to transform and model data in previous roles.
✨Understand Marketing Integration
Since the role involves working closely with marketing teams, brush up on how data integration from platforms like Google Analytics and HubSpot works. Be ready to explain how you can support marketing efforts through effective data management.
✨Demonstrate Attention to Detail
Highlight your thoughtful approach to data quality and governance during the interview. Share examples of how you've ensured data accuracy and compliance in past projects, as this is crucial for the role.
✨Prepare for Technical Questions
Expect technical questions related to data modelling and pipeline management. Practice explaining your thought process when designing datasets and how you ensure they meet business needs, as this will showcase your analytical skills.
